Hi.

V is a linear space over F.

dimV = n

T1,T2 : V \to F are linear transformations where T1,T2 != (not equal) 0.

N1 = KerT1

N2 = kerT2

N1 != N2

Find dim(N1 ∩ N2)

PLEASE help me!!!

Thanks.

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- Jun 10th 2011, 05:17 AMdavidlequestions - linear transformation
Hi.

V is a linear space over F.

dimV = n

T1,T2 : V \to F are linear transformations where T1,T2 != (not equal) 0.

N1 = KerT1

N2 = kerT2

N1 != N2

Find dim(N1 ∩ N2)

PLEASE help me!!!

Thanks. - Jun 10th 2011, 05:25 AMHallsofIvy
The question doesn't make a whole lot of sense. It is possible to make up examples where the answer is any integer from 0 to n-1.

- Jun 10th 2011, 05:37 AMdavidle
I don't understand.. Why?

- Jun 10th 2011, 07:12 PMDeveno
T1, T2 are non-zero linear functionals on V.

by the rank-nullity theorem: dim(V) = rank(T1) + dim(ker(T1)) = rank(T2) + dim(ker(T2)).

since rank(T1) = rank(T2) = dim(F) = 1, dim(ker(T1)) = dim(ker(T2)) = dim(V) - 1 = n - 1.

so the kernels (nullspaces) in question are two distinct subspaces of dimension n-1 of V.

now, suppose B = {b1,b2,....b(n-1)} is a basis for N1, and that C = {c1,c2,...,c(n-1)} is a basis for N2.

since N1 and N2 are unequal, some element of C is not in span(B), say cj.

then {b1,b2,...,b(n-1),cj} is linearly independent, and thus a basis for V. this shows we can write any element

of V as a linear combination of the b's plus a multiple of cj, that is, as a sum of an element in N1, and one in N2: V = N1 + N2.

since dim(N1+N2) = dim(N1) + dim(N2) - dim(N1∩N2), we have:

n = n-1 + n-1 - dim(N1∩N2), so

dim(N1∩N2) = 2n - 2 - n = n - 2.